{"id":"W2345671934","doi":"10.1017/cem.2016.30","title":"CAEP/ACMU 2016 Scientific Abstracts, June 5<sup>th</sup> to June 8<sup>th</sup>, 2016, Québec City, Québec","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Association of Emergency Physicians","funders":"","keywords":"Content (measure theory); Medicine; Library science; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01558966,0.0007055589,0.001446979,0.003102973,0.001196641,0.0005220537,0.00730294,0.0004640199,0.04545078],"category_scores_gemma":[0.03927404,0.0004164886,0.0004681028,0.00342577,0.001097815,0.003367359,0.0002942979,0.001344129,0.00236177],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119352,"about_ca_system_score_gemma":0.0190947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5243163,"about_ca_topic_score_gemma":0.7933955,"domain_scores_codex":[0.9879507,0.0004607669,0.004508193,0.001302955,0.003933365,0.001843959],"domain_scores_gemma":[0.9854484,0.001425078,0.001871816,0.001762365,0.003294518,0.006197784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005198439,0.00003558286,0.017657,0.00001101973,0.00008668588,0.0001729843,0.003496608,0.0004395315,0.0005344643,0.00008689029,0.9531507,0.02427655],"study_design_scores_gemma":[0.001179499,0.000243459,0.008559107,0.0007439719,0.0001097182,0.0001210345,0.002752515,0.0001132916,0.000121069,0.001821042,0.98364,0.0005953107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5433297,0.01384461,0.001394523,0.3813824,0.0331986,0.0006066556,0.0003038598,0.00006642769,0.02587324],"genre_scores_gemma":[0.6613855,0.0004074432,0.0001518303,0.001701051,0.005103617,0.00001161986,0.0000100683,0.00008161131,0.3311473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3796813,"threshold_uncertainty_score":0.9998287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224144521068308,"score_gpt":0.3835261130916218,"score_spread":0.261111660984791,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}